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🗓 Submission Timing Intelligence

When is the best month — and weekday — to submit your planning application? Real approval-rate + decision-speed data from 25,848 dated decisions across UK LPAs.

📅 Monthly breakdown per LPA 🏆 Best / worst windows ⚡ Decision-speed by month 🌍 National baseline for context
🏛️ By LPA 🗓 Best LPAs by Month
Narrow by type All types Householder Full / Major Outline Reserved Matters Listed Building Conservation Area Prior Approval Lawful Development Change of Use

📊 Islington

Months below refer to when you submit, not when the decision lands. Each application is bucketed by its received_date month — but the approval rate measures the final outcome, whenever it landed (60-90 days later typically). The lag is already baked into the signal: "submit in December = 100% approval" already accounts for the fact that those decisions arrive in Feb/March. The month-by-month table below shows the lag explicitly so you can see the full cycle.

Best month to submit: November — apps submitted then end up with 100.0% approval (sample: 11 decisions). Avoid submitting in December (16.3% approval).
🏆 Best SUBMIT Month
November
Apps submitted then → 100.0% approval (11 decisions)
⚠️ Avoid SUBMITTING In
December
Apps submitted then → 16.3% approval (43 decisions)
⚡ Submit For Fastest Decision
February
Apps submitted then → avg 46 days to decision
🎯 Inverse view — "I want a decision in [month], when do I submit?"

Based on this LPA's typical decision-lag of 63 days (~2 months), the table below shows when to submit if you want your decision to land in a specific month.

If you want a decision in...Submit by (approx.)That submit month's approval rate
Jan Submit by end of Nov 100%
Feb Submit by end of Dec 16.3%
Mar Submit by end of Jan 40.9%
Apr Submit by end of Feb 83.3%
May Submit by end of Mar 100%
Jun Submit by end of Apr
Jul Submit by end of May 100%
Aug Submit by end of Jun
Sep Submit by end of Jul
Oct Submit by end of Aug
Nov Submit by end of Sep
Dec Submit by end of Oct 100%

Inverse calculation is approximate — actual decision time varies (range typically ±30 days). Use the Decision Time Predictor for tighter forecasts.

⏱ Decision speed by application type

How long different application types actually take at Islington. Householder apps are statutorily 8 weeks; full/major are 13 weeks — but the real numbers usually drift. This is what the data says, not what the statute says.
→ Fastest: Conservation Area (17 days). Slowest: Listed Building (95 days).

Application type Decisions Approval rate Avg days Range
Full / Major 217 68.7% 74 d (11 wk) 38–345 d Filter ▸
Conservation Area 120 95% 17 d (2 wk) 0–159 d Filter ▸
Advertisement 95 46.3% 63 d (9 wk) 38–328 d ✕ clear
Householder 91 89% 85 d (12 wk) 43–291 d Filter ▸
Listed Building 91 90.1% 95 d (14 wk) 35–345 d Filter ▸
Prior Approval 10 60% 58 d (8 wk) 51–76 d Filter ▸
Change of Use (low sample) 7 42.9% 58 d (8 wk) 51–76 d Filter ▸
Lawful Development (low sample) 3 0% 65 d (9 wk) 48–76 d Filter ▸
Outline (low sample) 1 0% 64 d (9 wk) 64–64 d Filter ▸

ⓘ Month-by-month stats above are filtered to Advertisement only. The table above always shows all types so you can compare.

📅 Month-by-month breakdown — full submit→decide cycle

Each row shows the complete journey for applications received in that month: how long they took, when the decision actually landed, and what % were approved. The approval rate already accounts for everything that happens between submission and decision — the lag is part of the signal.

Submit month Decisions Approval rate Median lag Decision typically lands in Range
January 22
40.9%
54d (~8wk) → March 39–64d
February 12
83.3%
46d (~7wk) → April 38–50d
October 5
100%
103d (~15wk) → January 86–126d
November 11
100%
62d (~9wk) → January 49–114d
December 43
16.3%
58d (~8wk) → February 42–104d

Read across each row: submit in [month] → wait [median lag] → decision lands in [target month] → outcome [approval rate]. The approval rate is the final outcome of the whole cycle, not a snapshot.

🗓 Day-of-week patterns

Day receivedDecisionsApproval rateAvg days
Monday 39 28.2% 75
Tuesday 10 60% 65
Wednesday 21 81% 54
Thursday 16 43.8% 135
Friday 12 50% 66
⚖️ Why timing matters less than they pretend: A planning decision should be made on its substantive merits, not the season. But officers have queues, committees have schedules, and consultees go on holiday. The data is a guide to operational friction, not policy friction. If your scheme is sound, time it to land in their best window. If it's borderline, give yourself every advantage.
📊 Data sources & freshness

Timing is a tactical edge, not strategic justification. Use alongside the constraint check + pattern fingerprint to make the case strong on substance, then time it to land well.

  • planning_applications.received_date (updated Daily ingest)
    25,848 dated decisions where both received_date and decision_type are known. Approval = approved/granted/permit. Sample size gating: months with fewer than 8 decisions excluded from best/worst recommendation.
  • Day-of-week patterns
    Reflects when applicants choose to submit, which may correlate with applicant type (Monday = professional consultants; Friday = end-of-week DIY submissions). Causality is correlative not causal.
  • Decision-time outliers
    Months showing 200+ day averages are flagged — they reflect older PINS-appeal-derived rows where determinations stretched over many months. Read the Jan/Feb/Nov/Dec numbers (largest samples) as the reliable benchmark.
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